> Markdown version of [/jobs/ext/3995792-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/3995792-azure-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Engineer - **Company:** Keypixel Software Solutions - **Location:** Irving, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Computer Vision, Microsoft Azure, Data Mining, Information Extraction, JSON, Python (Programming Language), Machine Learning, OpenAI, Azure Machine Learning, SQL Databases, Enterprise Search, Azure Data Factory, Model Validation, Machine Learning Operations, Azure AI, Restful APIs, Document Classification, Intelligent Document Processing, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/4ecbecac-8e5f-4b55-a446-f35b1a783582 ## About the Role · Candidate Must have over 10 years of experience in IT · Must attend Face to Face Interview at TX Location Mandatory Skills: · 7+ years of hands-on experience in ML, OCR, NLP, computer vision, or intelligent document processing. · Strong Python, SQL, REST API, JSON, and Azure SDK skills. · Experience with Azure AI Document Intelligence or similar document-processing platforms. · Knowledge of model training, evaluation metrics, labelled datasets, and complex table extraction. · Experience processing invoices, contracts, purchase orders, or supply-chain documents. ## Description · Develop and optimize document classification and data extraction models using Azure AI Document Intelligence, Python, and machine learning. · Extract invoice details, contract metadata, line items, tables, payment terms, and legal clauses with high accuracy. · Build data preprocessing, validation, confidence-scoring, and human-in-the-loop review workflows. · Implement model evaluation pipelines, targeting 98-99%+ extraction accuracy for critical business fields. · Leverage Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, and Azure OpenAI/GenAI for intelligent document automation. · Monitor model performance, analyze extraction errors, manage model drift, and continuously improve accuracy.